{"id":"W2588696980","doi":"10.2139/ssrn.2787954","title":"Market Efficiency and Hedge Fund Trading Strategies","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Financial Markets and Investment Strategies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Hedge fund; Business; Pairs trade; Alternative beta; Trading strategy; Financial economics; Market efficiency; Algorithmic trading; Finance; Open-end fund; Economics; Alternative trading system; Institutional investor; Corporate governance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002565266,0.0002831897,0.0005947591,0.001007236,0.0002515655,0.00320503,0.0004655802,0.001068581,0.004999293],"category_scores_gemma":[0.02211291,0.0002313134,0.0003521881,0.000557469,0.001066887,0.003981769,0.0006800198,0.0007637255,0.0003994981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006573162,"about_ca_system_score_gemma":0.0003535444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004688214,"about_ca_topic_score_gemma":0.0003553807,"domain_scores_codex":[0.9994679,0.0001958642,0.00004376874,0.00008415639,0.0001152547,0.00009311765],"domain_scores_gemma":[0.9857388,0.01028673,0.002209161,0.0007760958,0.00060747,0.0003817226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008686326,0.0004215502,0.0735689,0.0001668284,0.0004875074,0.0007198498,0.0005688092,0.09998849,0.007377644,0.7392954,0.002977467,0.07355893],"study_design_scores_gemma":[0.0001461351,0.0003018634,0.07636932,0.00004939338,0.000137344,0.0006969507,0.0005946429,0.2052914,0.002747889,0.7107887,0.002828746,0.00004756334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9381849,0.001838135,0.03448551,0.001322393,0.00002705308,0.00001907096,0.00007685334,0.00004607796,0.02399993],"genre_scores_gemma":[0.9976351,0.0001295009,0.0005359455,0.0000253253,0.00002287165,0.000003019908,0.00001960769,0.000007484631,0.001621184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004999293,"threshold_uncertainty_score":0.01672423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02129356070399839,"score_gpt":0.2149473042502204,"score_spread":0.1936537435462219,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}